Abstract
An energy efficient street lighting system is proposed in this paper to reduce the energy consumption obtained by the streetlights. An autonomous adjustment of the brightness for the street lights is adopted by the sensing of pedestrians and vehicles. The street lights are lit with different levels of brightness in accordance with the circumstances. The parameters for estimating the energy consumption are discussed and subsequently, it is reduced. Various simulation results of our proposed work indicate an improvement over the existing approaches.
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Sikdar, P.L., Thakurta, P.K.G. (2020). An Energy Efficient Autonomous Street Lighting System. In: Mandal, J., Mukhopadhyay, S. (eds) Proceedings of the Global AI Congress 2019. Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore. https://doi.org/10.1007/978-981-15-2188-1_46
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DOI: https://doi.org/10.1007/978-981-15-2188-1_46
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Online ISBN: 978-981-15-2188-1
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